
51 - 200 employees
Founded 1998
📚 Education
☁️ SaaS
🔧 Hardware
Education • SaaS • Hardware
EnvisionWare, Inc. is a provider of integrated self-service solutions and management systems for public libraries and similar institutions. The company supplies both software (e. g. , OneStop self-service software, analytics, computer and reservation management, eCommerce/payment services) and hardware (e. g. , 24-hour library kiosks, automated material handling, holds lockers, self-service checkout stations, RFID systems, print/copy/scan/payment terminals) to automate circulation, payments, printing, and other library workflows, helping libraries extend access, reduce staff workload, and offer 24/7 services.
🔥 12 hours ago
🌐 United States, Canada – Remote
⏰ Full Time
🟡 Mid-level
🟠 Senior
🧑💻 Full-stack Engineer
👻 Ghost score 10%
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51 - 200 employees
Founded 1998
📚 Education
☁️ SaaS
🔧 Hardware
Education • SaaS • Hardware
EnvisionWare, Inc. is a provider of integrated self-service solutions and management systems for public libraries and similar institutions. The company supplies both software (e. g. , OneStop self-service software, analytics, computer and reservation management, eCommerce/payment services) and hardware (e. g. , 24-hour library kiosks, automated material handling, holds lockers, self-service checkout stations, RFID systems, print/copy/scan/payment terminals) to automate circulation, payments, printing, and other library workflows, helping libraries extend access, reduce staff workload, and offer 24/7 services.
• Design and deliver software across the full Envisionware stack, including backend, frontend, native clients, and AWS infrastructure • Move ideas from concept to demo to production at high speed • Decompose problems and product requirements into spec-driven, AI-executable tasks • Direct AI tools to generate code for APIs, UI, SQL, infrastructure configuration, and workflows • Validate, test, harden, and take ownership of AI-generated output • Own features end-to-end from database schema through Java services, Angular or React UI, and Kubernetes deployment on AWS • Configure and deploy Docker/Kubernetes workloads on AWS • Design and ship Amazon Bedrock-based AI agents, including action groups, tool integrations, Knowledge Base RAG retrieval, and Guardrails • Operate workloads on AWS with IAM least privilege, cost awareness, and CloudWatch observability • Improve AI-driven development patterns, prompts, and tooling • Deliver features from concept to demo-ready in five days or less where applicable • Establish documented workflows for AI-directed development and improve delivery speed and consistency
• Strong software engineering fundamentals (APIs, distributed systems, debugging, data flows) • Hands-on AWS experience (3+ years) building and running production workloads • Ability to reason about IAM, VPC networking, and the cost and failure modes of AWS services • Infrastructure as code on AWS; CloudFormation preferred, or CDK or Terraform acceptable • Full-stack breadth across backend services, UI, and deployment configuration • Working familiarity with containers and Kubernetes, or willingness to ramp fast; ability to debug a failing pod, read a manifest, and ship a Helm change • Demonstrated experience using AI coding tools such as Claude Code, Cursor, Copilot, or similar to ship real work • Strong ability to review AI output for correctness, security, and deployment issues • Comfort in fast, ambiguous, rapidly changing environments • Bias toward shipping working software over perfect design • Systems thinking and understanding of how components interact at scale • Willingness to challenge human- and AI-generated assumptions • Strong written communication • AWS experience is required • Experience with Java/Jersey, Angular or React, PostgreSQL, or library, public-sector, or multi-tenant SaaS domains is nice to have
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